Crypto automation that survives reality
I build and harden trading bots and crypto data pipelines with a reliability-first mindset: bounded retries, idempotent side effects, audit trails, and runbooks.
Stop duplicated orders, unsafe retries, and silent failures with clear policies and stop rules.
Telemetry that answers “what failed, how often, and what did we do about it?”
A checklist and decision path for bans, 429s, drift, signature errors, and flaky upstreams.
The problem (what breaks in the real world)
Crypto automation fails at the edges: rate limits, exchange bans, partial fills, timestamp drift, upstream outages, and retries that accidentally place duplicate orders.
- 429s, timeouts, and ban waves that trigger retry storms
- Signature/timestamp errors and clock drift
- Duplicates and mismatched state (orders, positions, fills)
Outcomes
The goal is calm automation: predictable behavior under stress, and fast debugging when something upstream changes.
- Bounded retries with stop rules (no infinite loops)
- Idempotency for side effects (no accidental duplicates)
- Telemetry + audit trail you can use during incidents
How it works
If you want the hands-on path, start with services. If you want the reusable kit, join Axiom Ops.
Pricing (typical)
These ranges are here so you can self-qualify quickly. Exact scope depends on access (logs, staging, reproducibility) and how risky the automation is.
Prefer DIY? Axiom Ops will include vertical packs for domains like trading bans and drift.